Package java.io

Examples of java.io.DataInput.readDouble()


               
        this.randNumGenerator = (RandomGenerator) ois.readObject();

      this.sparsity = di.readDouble();
      this.momentum = di.readDouble();
      this.l2 = di.readDouble();
      this.renderWeightsEveryNumEpochs = di.readInt();
      this.fanIn = di.readDouble();
      this.useRegularization = di.readBoolean();
     
    } catch (Exception e) {
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      this.sparsity = di.readDouble();
      this.momentum = di.readDouble();
      this.l2 = di.readDouble();
      this.renderWeightsEveryNumEpochs = di.readInt();
      this.fanIn = di.readDouble();
      this.useRegularization = di.readBoolean();
     
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
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    public void Deserialize(byte[] bytes) throws IOException {
     
      ByteArrayInputStream b = new ByteArrayInputStream(bytes);
      DataInput in = new DataInputStream(b);

    this.y_partial_sum = in.readDouble();
    this.y_avg = in.readDouble();
    this.SSyy_partial_sum = in.readDouble();
    this.SSE_partial_sum = in.readDouble();
     
     
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      ByteArrayInputStream b = new ByteArrayInputStream(bytes);
      DataInput in = new DataInputStream(b);

    this.y_partial_sum = in.readDouble();
    this.y_avg = in.readDouble();
    this.SSyy_partial_sum = in.readDouble();
    this.SSE_partial_sum = in.readDouble();
     
     
      this.IterationComplete = in.readInt();
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      ByteArrayInputStream b = new ByteArrayInputStream(bytes);
      DataInput in = new DataInputStream(b);

    this.y_partial_sum = in.readDouble();
    this.y_avg = in.readDouble();
    this.SSyy_partial_sum = in.readDouble();
    this.SSE_partial_sum = in.readDouble();
     
     
      this.IterationComplete = in.readInt();
      this.CurrentIteration = in.readInt();
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      DataInput in = new DataInputStream(b);

    this.y_partial_sum = in.readDouble();
    this.y_avg = in.readDouble();
    this.SSyy_partial_sum = in.readDouble();
    this.SSE_partial_sum = in.readDouble();
     
     
      this.IterationComplete = in.readInt();
      this.CurrentIteration = in.readInt();
      this.batchTimeMS = in.readLong();
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        this.CurrentIteration = in.readInt();
       
        this.TrainedRecords = in.readInt(); // d.writeInt(this.TrainedRecords);
        //this.AvgLogLikelihood = in.readFloat(); // d.writeFloat(this.AvgLogLikelihood);
        this.PercentCorrect = in.readFloat(); // d.writeFloat(this.PercentCorrect);
        this.RMSE = in.readDouble();

         ObjectInputStream oistream = null;

          try {
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  public void load(InputStream is) {
    try {

      DataInput di = new DataInputStream(is);
     
      masterStepSize = di.readDouble();
     
      historicalGradient = MatrixWritable.readMatrix( di );
      adjustedGradient = MatrixWritable.readMatrix( di );
     
      fudgeFactor = di.readDouble();
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      masterStepSize = di.readDouble();
     
      historicalGradient = MatrixWritable.readMatrix( di );
      adjustedGradient = MatrixWritable.readMatrix( di );
     
      fudgeFactor = di.readDouble();
     
      gradient = MatrixWritable.readMatrix( di );
     
      rows = di.readInt();
      cols = di.readInt();
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      rows = di.readInt();
      cols = di.readInt();
      numIterations = di.readInt();
     
      lrDecay = di.readDouble();
      decayLr = di.readBoolean();
      minLearningRate = di.readDouble();     
     
    } catch (Exception e) {
      throw new RuntimeException(e);
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